How can I use feature extraction in CNN with image segmentation?
Feature extraction is a way that people use pretrained model to extract information from input data. For example, image segmentation task may use the VGG network or other image classifying network for feature extraction. The output of the last convolution layer is taken. Then, the features are feed into the untrained network to get outputs. The bottom network for image segmentation usually consists of upsampling and convolutional layers. Then output of size of original image is resulted in teh main network. Hope I can help you